A Comparison of Utilized and Theoretical Covariance Weighting Matrices on the Estimation Performance of Quadratic Inference Functions
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[1] Yang Bai,et al. Penalized quadratic inference functions for single-index models with longitudinal data , 2009, J. Multivar. Anal..
[2] A. U.S.,et al. Generalized method of moments estimation for linear regression with clustered failure time data , 2009 .
[3] Incorporating Correlation for Multivariate Failure Time Data When Cluster Size Is Large , 2010, Biometrics.
[4] Min Zhu,et al. Efficient parameter estimation in longitudinal data analysis using a hybrid GEE method. , 2009, Biostatistics.
[5] The effect of cluster size imbalance and covariates on the estimation performance of quadratic inference functions , 2012, Statistics in medicine.
[6] R Z Omar,et al. Bayesian methods of analysis for cluster randomized trials with binary outcome data. , 2001, Statistics in medicine.
[7] Catherine Loader,et al. Iteratively Reweighted Generalized Least Squares for Estimation and Testing With Correlated Data: An Inference Function Framework , 2007 .
[8] Christopher G. Small,et al. Hilbert Space Methods in Probability and Statistical Inference: Small/Hilbert , 1994 .
[9] B. Lindsay. Conditional score functions: Some optimality results , 1982 .
[10] Peter X-K Song,et al. Quadratic inference functions in marginal models for longitudinal data , 2009, Statistics in medicine.
[11] P. McCullagh,et al. Generalized Linear Models , 1972, Predictive Analytics.
[12] F. Windmeijer. A Finite Sample Correction for the Variance of Linear Two-Step GMM Estimators , 2000 .
[13] L. Hansen,et al. Finite Sample Properties of Some Alternative Gmm Estimators , 2015 .
[14] Eric R. Ziegel,et al. Generalized Linear Models , 2002, Technometrics.
[15] B. Lindsay,et al. Improving generalised estimating equations using quadratic inference functions , 2000 .
[16] B. Leroux,et al. Analysis of clustered data: A combined estimating equations approach , 2002 .
[17] S. Zeger,et al. Longitudinal data analysis using generalized linear models , 1986 .
[18] M. Puumala,et al. Optimal combination of estimating equations in the analysis of multilevel nested correlated data , 2010, Statistics in medicine.
[19] P. X. Song,et al. A note on improving quadratic inference functions using a linear shrinkage approach , 2011 .
[20] Runze Li,et al. Quadratic Inference Functions for Varying‐Coefficient Models with Longitudinal Data , 2006, Biometrics.
[21] L. Hansen. Large Sample Properties of Generalized Method of Moments Estimators , 1982 .
[22] J. Robson,et al. Improving uptake of breast screening in multiethnic populations: a randomised controlled trial using practice reception staff to contact non-attenders , 1997, BMJ.
[23] Dylan S. Small,et al. Marginal regression analysis of longitudinal data with time‐dependent covariates: a generalized method‐of‐moments approach , 2007 .
[24] A bias‐corrected covariance estimate for improved inference with quadratic inference functions , 2012, Statistics in medicine.
[25] Zhongyi Zhu,et al. Partial Linear Models for Longitudinal Data Based on Quadratic Inference Functions , 2008 .
[26] C. Small,et al. Hilbert Space Methods in Probability and Statistical Inference , 1994 .